67 related articles for article (PubMed ID: 25519325)
1. Analysis of Genetic Analysis Workshop 18 data with gene-based penalized regression.
Ayers KL; Cordell HJ
BMC Proc; 2014; 8(Suppl 1):S43. PubMed ID: 25519325
[TBL] [Abstract][Full Text] [Related]
2. Identification of grouped rare and common variants via penalized logistic regression.
Ayers KL; Cordell HJ
Genet Epidemiol; 2013 Sep; 37(6):592-602. PubMed ID: 23836590
[TBL] [Abstract][Full Text] [Related]
3. Penalized-regression-based multimarker genotype analysis of Genetic Analysis Workshop 17 data.
Ayers KL; Mamasoula C; Cordell HJ
BMC Proc; 2011 Nov; 5 Suppl 9(Suppl 9):S92. PubMed ID: 22373158
[TBL] [Abstract][Full Text] [Related]
4. Penalized regression approaches to testing for quantitative trait-rare variant association.
Kim S; Pan W; Shen X
Front Genet; 2014; 5():121. PubMed ID: 24860593
[TBL] [Abstract][Full Text] [Related]
5. A Novel Statistic for Global Association Testing Based on Penalized Regression.
Austin E; Shen X; Pan W
Genet Epidemiol; 2015 Sep; 39(6):415-26. PubMed ID: 26282998
[TBL] [Abstract][Full Text] [Related]
6. Identifying rare variants using a Bayesian regression approach.
Yan A; Laird NM; Li C
BMC Proc; 2011 Nov; 5 Suppl 9(Suppl 9):S99. PubMed ID: 22373362
[TBL] [Abstract][Full Text] [Related]
7. Rare variant analysis of blood pressure phenotypes in the Genetic Analysis Workshop 18 whole genome sequencing data using sequence kernel association test.
Mallaney C; Sung YJ
BMC Proc; 2014; 8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S10. PubMed ID: 25519353
[TBL] [Abstract][Full Text] [Related]
8. Testing rare variants for hypertension using family-based tests with different weighting schemes.
Wang X; Zhao X; Zhou J
BMC Proc; 2016; 10(Suppl 7):233-237. PubMed ID: 27980642
[TBL] [Abstract][Full Text] [Related]
9. A robust GWSS method to simultaneously detect rare and common variants for complex disease.
Kao CF; Liu JR; Hung H; Kuo PH
PLoS One; 2015; 10(4):e0120873. PubMed ID: 25880329
[TBL] [Abstract][Full Text] [Related]
10. Detection of rare variant effects in association studies: extreme values, iterative regression, and a hybrid approach.
Zhang Z; Sha Q; Wang X; Zhang S
BMC Proc; 2011 Nov; 5 Suppl 9(Suppl 9):S112. PubMed ID: 22373188
[TBL] [Abstract][Full Text] [Related]
11. Different approaches for dealing with rare variants in family-based genetic studies: application of a Genetic Analysis Workshop 17 problem.
Alfonso de Almeida MA; Vançan Russo Horimoto AR; Lopes de Oliveira PS; Krieger JE; da Costa Pereira A
BMC Proc; 2011 Nov; 5 Suppl 9(Suppl 9):S78. PubMed ID: 22373261
[TBL] [Abstract][Full Text] [Related]
12. Higher criticism approach to detect rare variants using whole genome sequencing data.
Xuan J; Yang L; Wu Z
BMC Proc; 2014; 8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S14. PubMed ID: 25519367
[TBL] [Abstract][Full Text] [Related]
13. Evaluation of gene-based association tests for analyzing rare variants using Genetic Analysis Workshop 18 data.
Derkach A; Lawless JF; Merico D; Paterson AD; Sun L
BMC Proc; 2014; 8(Suppl 1 Genetic Analysis Workshop 18Vanessa Olmo):S9. PubMed ID: 25519417
[TBL] [Abstract][Full Text] [Related]
14. Identifying rare and common variants with Bayesian variable selection.
Oh C
BMC Proc; 2016; 10(Suppl 7):379-384. PubMed ID: 27980665
[TBL] [Abstract][Full Text] [Related]
15. Performance of random forests and logic regression methods using mini-exome sequence data.
Kim Y; Li Q; Cropp CD; Sung H; Cai J; Simpson CL; Perry B; Dasgupta A; Malley JD; Wilson AF; Bailey-Wilson JE
BMC Proc; 2011 Nov; 5 Suppl 9(Suppl 9):S104. PubMed ID: 22373484
[TBL] [Abstract][Full Text] [Related]
16. An optimum projection and noise reduction approach for detecting rare and common variants associated with complex diseases.
Turkmen A; Lin S
Hum Hered; 2012; 74(1):51-60. PubMed ID: 23154579
[TBL] [Abstract][Full Text] [Related]
17. Knowledge-constrained K-medoids Clustering of Regulatory Rare Alleles for Burden Tests.
Sivley RM; Fish AE; Bush WS
Evol Comput Mach Learn Data Min Bioinform; 2013; 7833():35-42. PubMed ID: 25541630
[TBL] [Abstract][Full Text] [Related]
18. A multistep approach to single nucleotide polymorphism-set analysis: an evaluation of power and type I error of gene-based tests of association after pathway-based association tests.
Valcarcel A; Grinde K; Cook K; Green A; Tintle N
BMC Proc; 2016; 10(Suppl 7):349-355. PubMed ID: 27980661
[TBL] [Abstract][Full Text] [Related]
19. Addition of multiple rare SNPs to known common variants improves the association between disease and gene in the Genetic Analysis Workshop 17 data.
Sykes J; Cheng L; Xu W; Tsao MS; Liu G; Pintilie M
BMC Proc; 2011 Nov; 5 Suppl 9(Suppl 9):S97. PubMed ID: 22373301
[TBL] [Abstract][Full Text] [Related]
20. Detecting association of rare and common variants by testing an optimally weighted combination of variants.
Sha Q; Wang X; Wang X; Zhang S
Genet Epidemiol; 2012 Sep; 36(6):561-71. PubMed ID: 22714994
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
